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Table 3 General linear regression analysis examining the contribution of demographic/clinical variables and coping styles to the prediction of depression (n = 176)

From: Depression, anxiety and stress among metastatic breast cancer patients on chemotherapy in China

Variables

SLR

 

GLR

  

Crude b(95%CI)

P-value

Adjusted b(95%CI)

t statistics

P-value

Age

0.102(-0.070,0.274)

0.243

   

Marital status

 Single/Divorced/ Widowed/

1.340(-3.794,6.473)

0.607

   

 Married/Cohabiting

0

    

Education level

 Low education

0.943(-2.328,4.215)

0.570

   

 High education

0

    

Working status

 Employed

-2.510(-6.487,1.466)

0.214

   

 Unemployed

1.209(-2.089,4.508)

0.470

   

 Retired

0.482(-2.736,3.700)

0.768

   

Income

Low income

1.932(-1.329,5.194)

0.244

   

 High income

0

    

Marriage quality

 Good

0

    

 Poor

5.615(1.860,9.370)

0.004

3.746(0.475,7.018)

2.262

0.025

Metastasis site

 Bone

-4.092(-7.235,-0.949)

0.011

   

 Lung

-0.893(-4.204,2.491)

0.595

   

 Liver

0.143(-3.049,3.335)

0.930

   

 Brain

-0.075(-5.785,5.635)

0.979

   

Number of Metastasis sites

-1.035(-2.3957,0.326)

0.135

   

Duration of Metastasis

0.014(-0.047,0.075)

0.655

   

CT regimen

 Single

-3.230(-6.387,-0.073)

0.045

   

 Combine

     

CT lines

 1st

0

    

 ≥2nd

2.868(-0.292,6.029)

0.075

   

Coping styles

 Positive Reframing

  

-2.862(-3.800,-1.923)

-6.024

< 0.001

 Venting

  

1.149(0.060,2.238)

2.084

0.039

 Self-blame

  

3.143(1.175,3.112)

4.371

< 0.001

 Denial

     

 Behavioral disengagement

  

2.215(0.910,3.521)

3.352

0.001

  1. R2 = 0.356
  2. Stepwise multiple linear regression method applied